Do you believe data is the new gold? At Xentity, we specialize in transforming complex datasets into actionable insights that drive innovation and economic development. As a Data Analyst, you’ll work on high-impact projects for government and large commercial clients, supporting open data initiatives, ETL environments, and dynamic visualizations that make data accessible and meaningful.
In this role, you’ll maintain public data catalogs, curate metadata for clarity, and create dashboards that showcase the value of public data. You’ll be a critical part of enabling better decision-making through advanced data management, analysis, and storytelling, working in an agile environment with a team of passionate data professionals.
This is an opportunity for a self-motivated professional who thrives on tackling data challenges, learning new domains, and delivering high-value solutions. Join us in driving data innovation that makes a difference.
Responsibilities:
- Public Data Catalog Management: Maintain a public data catalog, managing updates for over 100+ active datasets, setting up new ETL scripts, and ensuring proper documentation.
- Client Support: Assist clients in making their data publicly accessible, working with various agencies to keep datasets current and discoverable on centralized portals.
- Metadata Curation: Cultivate dataset backstories and curate metadata that provides context for end-users of public data.
- Data Visualization: Create dashboards, data visualizations, and content that demonstrate the value of public data, making it more understandable and accessible.
- Technical Support: Provide technical support at regional events, helping users understand and utilize public data effectively.
- Open Data Evangelism: Advocate for open data, helping organizations maximize its value through improved workflows, and maintaining process documentation as technologies evolve.
- GIS Analysis (Optional): Support geospatial data transformation work and occasional GIS-related tasks.
Our Working Environment:
- Agile & Collaborative: Rapidly learn new subject matter, context, and client-specific acronyms. Work in Agile Kanban or Scrum environments with a focus on teamwork and continuous learning.
- Client-Centric: Maintain strong client relationships and use empathy to drive technology advancement in government contexts.
- Challenge-Driven: Work on project-based tasks, collaborating with peers on data analysis, visualizations, solutions, and architecture design to bring valuable insights to clients.
Key Leadership & Management Competencies:
- Client Relationship: Strong communication skills, maintaining positive, professional relationships with clients and stakeholders from diverse backgrounds.
- Self-Motivated & Goal-Oriented: Demonstrates initiative, meets deadlines with minimal supervision, and consistently drives tasks to completion.
- Effective Communication: Able to express complex information clearly, whether in presentations or written reports, tailoring communication to different audiences.
- Ad-Hoc Testing: Ability to tackle on-the-spot challenges in data visualization and ETL design.
Required Technical Experience:
- Data Technologies: Expertise with SQL Server, PostGIS, small RDBMSs, Open Data Catalogs, and metadata.
- Data Management & Cleaning: Proficient in metadata management, inventorying, and ETL pipelines.
- Subject Matter Expertise: Deep knowledge of open data catalogs, obscure data discovery, and data integration.
- Open Source Tools: Familiarity with Boundless, GDAL, Python, Pandas, REST Services, and data requests.
- Programming Languages: Proficiency in SQL, Python, JavaScript, with experience in React, Neo4J, Leaflet, D3.
- Geospatial Technology: Expertise in ArcGIS, QGIS, PostGIS, SHP, GDBs, CARTO, MapBox.
- Web/DB Technologies: Knowledge of JavaScript, Python, Node.js, Oracle, SQL, and other popular programming languages.
Minimum Qualifications:
- Education: Bachelor’s degree in a relevant field (e.g., Data Management, Information Technology, Geography) with at least 5 years of experience in data analysis and management.
- Experience: Strong foundation in data management principles, with experience in data analysis, modeling, and ETL.
- Security: Must pass basic NACI, background, drug, and reference checks.
- Location: U.S. Remote
- Travel: Minimal to none.
Additional Requirements:
- Expertise in ArcGIS: Familiarity with Portal for ArcGIS, ArcGIS Online, LDAP integration, and ArcGIS services.
- Python Scripting: Proficient in Python (2.x and 3.x) for data management tasks.
At Xentity, we’re committed to not only ensuring quality work but also fostering your personal growth. Many of our past developers have shared how their career progression was directly influenced by our approach to mentorship and architectural guidance. If you are looking to grow while contributing to meaningful projects, this is the right opportunity for you.